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Content-based image retrieval

Multimedia Tools and Applications, 2023
Ciocca, G   +3 more
openaire   +3 more sources

Content Based Image Retrieval System

2016
In a world of virtualization, where we are having a larger source of images and descriptions available to modern world and based on their requirement it has been utilized from stored information, data center or cloud to larger audience, but at same time rising number of images requires good tools to store the data and retrieve data.
Mohd Omar, Khaleel Ahmad, M.A. Rizvi
openaire   +1 more source

Attentive Content-Based Image Retrieval

2016
In this chapter, we show how visual attention can enhance the performance in object recognition. This proposition is inspired by the idea introduced in Neisser (Cognitive psychology. Appleton-Century-Crofts, New York, 1967), which indicates that object recognition in human perception consists of two steps: an “attentional process selects the region of ...
Dounia Awad   +2 more
openaire   +1 more source

An effective hybrid framework for content based image retrieval (CBIR)

Multimedia tools and applications, 2021
U. A. Khan, A. Javed, Rehan Ashraf
semanticscholar   +1 more source

Content Based Image Retrieval Technique

2008
A retrieval methodology which integrates color, texture and shape information is presented in this paper. Consequently, the overall image similarity is developed through the similarity based on all the feature components. Alternatively to known CBIR systems, we compute features only in the finite number of extracted ROIs.
Ryszard S. Choraś   +2 more
openaire   +1 more source

A 20th Anniversary Survey: Introduction to 'Content-Based Image Retrieval at the End of the Early Years'

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
K. Bowyer, P. Flynn
semanticscholar   +1 more source

Content-Based Image Retrieval at the End of the Early Years

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
A. Smeulders   +4 more
semanticscholar   +1 more source

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